Sequence-graph based tool for determining variation in short tandem repeat regions
By employing sequence graphs with self-loops and probabilistic modeling, the method addresses the challenge of aligning short reads to repeat sequences, effectively identifying medically relevant repeat expansions in genetic disorders.
Patent Information
- Application Number
- US16/811919
- Authority / Receiving Office
- US · United States
- Patent Type
- Patents(United States)
- Current Assignee / Owner
- Priority Date
- 2019-03-07
- Filing Date
- 2020-03-06
- Publication Date
- 2025-07-29
- Estimated Expiration
- 2042-08-25
AI Technical Summary
Existing methods struggle to accurately identify medically relevant repeat expansions using short reads that do not fully traverse the repeat sequence, due to challenges in aligning and mapping these reads to reference sequences.
The use of sequence graphs with self-loops representing repeat sequences, combined with probabilistic modeling and alignment techniques, allows for the genotyping of repeat sequences, even with incomplete or short reads, by aligning reads to directed graphs and determining genotypes using paired end reads.
This approach enables precise identification of repeat expansions associated with genetic disorders, such as Fragile X syndrome and Huntington's disease, by accurately determining genotypes of repeat sequences, even when reads are shorter than the repeat sequences.